An Integrated Geographic Information System for Intelligent Transport System for the Road Network of Cyprus
Bibliographic record
Abstract
Following the EU ITS Directive 2010/40/EU, as well as the Delegated Regulations 885/2013, 886/2013, 962/2015, and 2017/1926, the Public Works Department of Cyprus in collaboration with the KIOS Research and Innovation Centre of Excellence of the University of Cyprus, have developed a complete Geographical Information System referred to as GNOSIS platform, to support the introduction of Intelligent Transport Systems in the island. This paper describes the development cycle of this system, from the requirement collection and system architecture to the delivered platform. In addition, this paper demonstrates how information systems related to critical infrastructures, such as road networks, can be developed using only open-source tools, without compromising the quality of the provided services. Finally, it is noted that the development of the GNOSIS platform is a step towards the achievement of the goals of the EU ITS Directive 2010/40/EU and in full harmony with The European Green Deal in Cyprus.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".